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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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“Initial Conditions for Quark and Gluon Matter Formation at the LHC,” which is financed by the European Research Council (ERC). The start date is (expected to be) October 1st, 2025 or as soon as possible
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bottlenecks in data and system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models
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an efficient AI foundational exploration of the molecular space. How can we bias the generative models towards desirable molecular properties How can we integrate generative AI models and different molecular
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failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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to the PhD project ie. processing and analysis of dietary intake data, statistical analyses (eg. linear mixed models) as well as evaluation of child growth and body composition data. Relevant publications
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welcoming environment with an international atmosphere that fosters creativity, empathy, teamwork, and outstanding academic collaborations. You will also benefit from strong connections to leading companies
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Optically Stimulated Luminescence (OSL) is a multi-step phenomenon driven by the transport of electrons and holes across defects in the crystal lattice. Traditional models rely on simplified coupled rate
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allocation, start-up/shutdown sequences, and operational planning of PtX systems in response to dynamic market and process conditions. System Integration and Digital Twin Development: Combine experimental